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Scientists collect data, and write stories about what the data tells them. I am interested in supporting the process of sharing data and stories about data, utilizing technology, to improve and accelerate science itself. In my talk, I will cover three facets of scientific sensemaking: first, I’ll describe a model for discourse analysis of biological text; then, I’ll discuss some recent work on representing of collections of papers as claim-evidence networks, and lastly, I will propose the creation of ‘involuntary collaboratories’ of networked experiments, to allow superior reasoning over collections of content than is currently possible.